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Comparative Study of Medical Reference and Information Mobile Apps for Healthcare Professionals and Students

机译:医疗专业人士和学生医疗参考和信息移动应用的比较研究

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This paper presents a framework upon which medical applications can be evaluated both in terms of basic functionality, and their target area of users. The study was conducted on 40 mobile applications that were published within Google Play and Apple App store targeted for clinicians, medical practitioners and students. It was important to first classify the mobile apps selected because there are many generic applications, and some focus on special areas within the medical field. The classification process included determining the specialist areas of these applications such as educational and training, nursing, diagnosis and treatment, patient monitoring, testing and laboratories, and social networking. After the classification, a criterion to evaluate applications within individual categories, as well as in more general aspects such as their performance, security, user interface, and other software quality attributes, was developed. Test data was used to test the applications using the developed evaluation criteria, and the results were then used to determine the apps with surpassing features. As per the category-wise results, Medicine References and Education & Training categories had applications that had better scores than other categories. However, an equally important finding concluded that there are not enough applications to help with lab testing, and this gap needs to be filled. Most applications lacked the usability aspect and needed work in user interface (UI) and user experience (UX) areas.
机译:本文介绍了一个框架,可以在基本功能和他们的用户目标区域中评估医疗应用。该研究是在40个移动应用程序上发表的,该应用程序于Google Play和针对临床医生,医疗从业者和学生的Apple App Store。首先分类所选择的移动应用程序非常重要,因为有许多通用应用,以及一些专注于医疗领域内的特殊区域。分类过程包括确定这些应用的专业领域,如教育和培训,护理,诊断和治疗,患者监测,测试和实验室以及社交网络。在分类之后,开发了一种标准,用于评估个别类别内的应用程序,以及在更一般的方面,如它们的性能,安全性,用户界面和其他软件质量属性,如它们的性能,安全性,用户界面和其他软件质量属性。测试数据用于使用开发的评估标准测试应用程序,然后使用结果来确定具有超越功能的应用。根据类别明智的结果,医学参考文献和教育和培训类别具有比其他类别更好得分的应用程序。然而,同样重要的发现得出结论,没有足够的应用程序可以帮助实验室测试,并且需要填补这种差距。大多数应用程序缺乏可用性方面,并且在用户界面(UI)和用户体验(UX)区域中所需的工作。

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